A Takagi-Sugeno Fuzzy Model for Greenhouse Climate


  • I. Haj Hamad Laboratory of Automatic Research, National Engineering School of Carthage, University of Carthage, Tunisia
  • A. Chouchaine Laboratory of Application for Energy Efficiency and Renewable Energies, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunisia
  • H. Bouzaouache Laboratory of Application for Energy Efficiency and Renewable Energies (LAPER), National Engineering School of Tunis, University of Tunis El Manar, Tunisia https://orcid.org/0000-0003-3505-5127
Volume: 11 | Issue: 4 | Pages: 7424-7429 | August 2021 | https://doi.org/10.48084/etasr.4291


This paper investigates the identification and modeling of a greenhouse's climate using real climate data from a greenhouse installed in the LAPER laboratory in Tunisia. The objective of this paper is to propose a solution to the problem of nonlinear time-variant inputs and outputs of greenhouse internal climate. Combining fuzzy logic technique with Least Mean Squares (LMS), a robust greenhouse climate model for internal temperature prediction is proposed. The simulation results demonstrate the effectiveness of the identification approach and the power of the implemented Takagi-Sugeno Fuzzy model-based algorithm.


TS fuzzy modeling, climate greenhouse, fuzzy clustering, identification


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How to Cite

I. Haj Hamad, A. Chouchaine, and H. Bouzaouache, “A Takagi-Sugeno Fuzzy Model for Greenhouse Climate”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 4, pp. 7424–7429, Aug. 2021.


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